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2020 – today
- 2024
[j35]Kenneth L. Clarkson, János Pach, Csaba D. Tóth:
Foreword. Discret. Comput. Geom. 72(2): 403-404 (2024)- [c53]Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh:
Topological data analysis on noisy quantum computers. ICLR 2024 - 2023
- [i25]Kenneth L. Clarkson, Shashanka Ubaru, Elizabeth Yang:
Capacity Analysis of Vector Symbolic Architectures. CoRR abs/2301.10352 (2023) - 2022
- [c52]Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, Honghao Lin, David P. Woodruff:
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. ICML 2022: 3879-3900 - [c51]Nadiia Chepurko, Kenneth L. Clarkson, Praneeth Kacham, David P. Woodruff:
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. SODA 2022: 3043-3068 - [c50]Ainesh Bakshi, Kenneth L. Clarkson, David P. Woodruff:
Low-rank approximation with 1/ε1/3 matrix-vector products. STOC 2022: 1130-1143 - [i24]Ainesh Bakshi, Kenneth L. Clarkson, David P. Woodruff:
Low-Rank Approximation with 1/ε1/3 Matrix-Vector Products. CoRR abs/2202.05120 (2022) - [i23]Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh:
Towards Quantum Advantage on Noisy Quantum Computers. CoRR abs/2209.09371 (2022) - [i22]Kenneth L. Clarkson, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves, Lior Horesh, Nimrod Megiddo:
Bayesian Experimental Design for Symbolic Discovery. CoRR abs/2211.15860 (2022) - 2021
- [c49]Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis:
Sparse Graph Based Sketching for Fast Numerical Linear Algebra. ICASSP 2021: 3255-3259 - [c48]Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson:
Projection techniques to update the truncated SVD of evolving matrices with applications. ICML 2021: 5236-5246 - [c47]Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, Andrew McCallum:
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs. NeurIPS 2021: 16423-16436 - [i21]Kenneth L. Clarkson, Sanjana Sahayaraj:
Order Embeddings from Merged Ontologies using Sketching. CoRR abs/2101.02158 (2021) - [i20]Dong Hu, Shashanka Ubaru, Alex Gittens, Kenneth L. Clarkson, Lior Horesh, Vassilis Kalantzis:
Sparse graph based sketching for fast numerical linear algebra. CoRR abs/2102.05758 (2021) - [i19]Nadiia Chepurko, Kenneth L. Clarkson, Praneeth Kacham, David P. Woodruff:
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. CoRR abs/2107.08090 (2021) - [i18]Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh:
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. CoRR abs/2108.02811 (2021) - [i17]Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir, Lior Horesh:
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery. CoRR abs/2109.01634 (2021) - 2020
- [j34]Kenneth L. Clarkson, Bernd Gärtner, Johannes Lengler
, May Szedlák:
Random Sampling with Removal. Discret. Comput. Geom. 64(3): 700-733 (2020) - [i16]Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson:
Projection techniques to update the truncated SVD of evolving matrices. CoRR abs/2010.06392 (2020) - [i15]Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, David P. Woodruff:
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. CoRR abs/2011.04125 (2020)
2010 – 2019
- 2019
- [c46]Michal Derezinski, Kenneth L. Clarkson, Michael W. Mahoney, Manfred K. Warmuth:
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression. COLT 2019: 1050-1069 - [c45]Kenneth L. Clarkson, Ruosong Wang, David P. Woodruff:
Dimensionality Reduction for Tukey Regression. ICML 2019: 1262-1271 - [i14]Michal Derezinski, Kenneth L. Clarkson, Michael W. Mahoney, Manfred K. Warmuth:
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression. CoRR abs/1902.00995 (2019) - [i13]Kenneth L. Clarkson, Ruosong Wang, David P. Woodruff:
Dimensionality Reduction for Tukey Regression. CoRR abs/1905.05376 (2019) - 2018
- [c44]Kenneth L. Clarkson, Anna Lisa Gentile, Daniel Gruhl, Petar Ristoski, Joseph Terdiman, Steve Welch:
User-Centric Ontology Population. ESWC 2018: 112-127 - [c43]Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab:
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. MICCAI (4) 2018: 543-551 - [i12]Stephen Boyer, Thomas D. Griffin, Sarath Swaminathan, Kenneth L. Clarkson, Dmitry Zubarev:
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing. CoRR abs/1807.09754 (2018) - 2017
- [j33]Haim Avron, Kenneth L. Clarkson, David P. Woodruff:
Faster Kernel Ridge Regression Using Sketching and Preconditioning. SIAM J. Matrix Anal. Appl. 38(4): 1116-1138 (2017) - [c42]Haim Avron, Kenneth L. Clarkson, David P. Woodruff:
Sharper Bounds for Regularized Data Fitting. APPROX-RANDOM 2017: 27:1-27:22 - [c41]Kenneth L. Clarkson, David P. Woodruff:
Low-Rank PSD Approximation in Input-Sparsity Time. SODA 2017: 2061-2072 - 2016
- [j32]Kenneth L. Clarkson, János Pach, Günter M. Ziegler:
Thirtieth Anniversary Note from the Editors in Chief. Discret. Comput. Geom. 55(4): 745-747 (2016) - [j31]Kenneth L. Clarkson, Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, Xiangrui Meng, David P. Woodruff:
The Fast Cauchy Transform and Faster Robust Linear Regression. SIAM J. Comput. 45(3): 763-810 (2016) - [i11]Haim Avron, Kenneth L. Clarkson, David P. Woodruff:
Faster Kernel Ridge Regression Using Sketching and Preconditioning. CoRR abs/1611.03220 (2016) - [i10]Haim Avron, Kenneth L. Clarkson, David P. Woodruff:
Sharper Bounds for Regression and Low-Rank Approximation with Regularization. CoRR abs/1611.03225 (2016) - 2015
- [c40]Kenneth L. Clarkson, David P. Woodruff:
Input Sparsity and Hardness for Robust Subspace Approximation. FOCS 2015: 310-329 - [c39]Kenneth L. Clarkson, David P. Woodruff:
Sketching for M-Estimators: A Unified Approach to Robust Regression. SODA 2015: 921-939 - [i9]Kenneth L. Clarkson, David P. Woodruff:
Input Sparsity and Hardness for Robust Subspace Approximation. CoRR abs/1510.06073 (2015) - 2014
- [j30]Kenneth L. Clarkson, Wolfgang Mulzer, C. Seshadhri:
Self-Improving Algorithms for Coordinatewise Maxima and Convex Hulls. SIAM J. Comput. 43(2): 617-653 (2014) - 2013
- [c38]Kenneth L. Clarkson, Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, Xiangrui Meng, David P. Woodruff:
The Fast Cauchy Transform and Faster Robust Linear Regression. SODA 2013: 466-477 - [c37]Kenneth L. Clarkson, David P. Woodruff:
Low rank approximation and regression in input sparsity time. STOC 2013: 81-90 - 2012
- [j29]Jingjing Zheng, Steven L. Mielke, Kenneth L. Clarkson, Donald G. Truhlar:
MSTor: A program for calculating partition functions, free energies, enthalpies, entropies, and heat capacities of complex molecules including torsional anharmonicity. Comput. Phys. Commun. 183(8): 1803-1812 (2012) - [j28]Kenneth L. Clarkson, Elad Hazan, David P. Woodruff:
Sublinear optimization for machine learning. J. ACM 59(5): 23:1-23:49 (2012) - [j27]Chandra Chekuri, Kenneth L. Clarkson, Sariel Har-Peled:
On the set multicover problem in geometric settings. ACM Trans. Algorithms 9(1): 9:1-9:17 (2012) - [c36]Kenneth L. Clarkson, Wolfgang Mulzer, C. Seshadhri:
Self-improving algorithms for coordinate-wise maxima. SCG 2012: 277-286 - [i8]Kenneth L. Clarkson, Wolfgang Mulzer, C. Seshadhri:
Self-improving Algorithms for Coordinate-wise Maxima. CoRR abs/1204.0824 (2012) - [i7]Kenneth L. Clarkson, Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, Xiangrui Meng, David P. Woodruff:
The Fast Cauchy Transform: with Applications to Basis Construction, Regression, and Subspace Approximation in L1. CoRR abs/1207.4684 (2012) - [i6]Kenneth L. Clarkson, David P. Woodruff:
Low Rank Approximation and Regression in Input Sparsity Time. CoRR abs/1207.6365 (2012) - [i5]Kenneth L. Clarkson, Wolfgang Mulzer, C. Seshadhri:
Self-improving Algorithms for Coordinate-Wise Maxima and Convex Hulls. CoRR abs/1211.0952 (2012) - 2011
- [j26]Nir Ailon, Bernard Chazelle, Kenneth L. Clarkson, Ding Liu, Wolfgang Mulzer, C. Seshadhri:
Self-Improving Algorithms. SIAM J. Comput. 40(2): 350-375 (2011) - 2010
- [b1]Kenneth L. Clarkson, Micha Sharir:
Combinatorial Complexity Bounds for Arrangements of Curves and Surfaces (reprint). General Books 2010, ISBN 978-1-153-46242-6, pp. 1-49 - [j25]Kenneth L. Clarkson, Günter Rote:
Welcome from the Editors-in-Chief. J. Comput. Geom. 1(1): 1-2 (2010) - [j24]Kenneth L. Clarkson:
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm. ACM Trans. Algorithms 6(4): 63:1-63:30 (2010) - [c35]Kenneth L. Clarkson, Elad Hazan, David P. Woodruff:
Sublinear Optimization for Machine Learning. FOCS 2010: 449-457 - [c34]Barna Saha, Ioana Stanoi, Kenneth L. Clarkson:
Schema covering: a step towards enabling reuse in information integration. ICDE 2010: 285-296 - [c33]Kenneth L. Clarkson, Wolfgang Mulzer, C. Seshadhri:
Self-improving Algorithms for Convex Hulls. SODA 2010: 1546-1565 - [p1]Kenneth L. Clarkson, Kun Liu, Evimaria Terzi:
Toward Identity Anonymization in Social Networks. Link Mining 2010: 359-385 - [i4]Kenneth L. Clarkson, Elad Hazan, David P. Woodruff:
Sublinear Optimization for Machine Learning. CoRR abs/1010.4408 (2010)
2000 – 2009
- 2009
- [c32]Chandra Chekuri, Kenneth L. Clarkson, Sariel Har-Peled:
On the set multi-cover problem in geometric settings. SCG 2009: 341-350 - [c31]Kenneth L. Clarkson, David P. Woodruff:
Numerical linear algebra in the streaming model. STOC 2009: 205-214 - [i3]Nir Ailon, Bernard Chazelle, Kenneth L. Clarkson, Ding Liu, Wolfgang Mulzer, C. Seshadhri:
Self-Improving Algorithms. CoRR abs/0907.0884 (2009) - [i2]Chandra Chekuri, Kenneth L. Clarkson, Sariel Har-Peled:
On the Set Multi-Cover Problem in Geometric Settings. CoRR abs/0909.0537 (2009) - 2008
- [j23]Mihai Badoiu, Kenneth L. Clarkson:
Optimal core-sets for balls. Comput. Geom. 40(1): 14-22 (2008) - [c30]Kenneth L. Clarkson:
Tighter bounds for random projections of manifolds. SCG 2008: 39-48 - [c29]Kenneth L. Clarkson, C. Seshadhri:
Self-improving algorithms for delaunay triangulations. SCG 2008: 148-155 - [c28]Kenneth L. Clarkson:
Geometry is everywhere, part XLVII: metrics, nets, dimensions, and measures. SCG 2008: 305 - [c27]Kenneth L. Clarkson:
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm. SODA 2008: 922-931 - 2007
- [j22]Kenneth L. Clarkson, Kasturi R. Varadarajan:
Improved Approximation Algorithms for Geometric Set Cover. Discret. Comput. Geom. 37(1): 43-58 (2007) - [c26]Kenneth L. Clarkson, Georg K. Hampel, John D. Hobby:
Modeling UpLink Power Control with Outage Probabilities. VTC Fall 2007: 799-803 - [c25]Kenneth L. Clarkson, John D. Hobby:
Ocelot's Knapsack Calculations for Modeling Power Amplifier and Walsh Code Limits. VTC Fall 2007: 905-909 - 2006
- [c24]Kenneth L. Clarkson:
Building triangulations using epsilon-nets. STOC 2006: 326-335 - 2005
- [c23]Kenneth L. Clarkson, Kasturi R. Varadarajan:
Improved approximation algorithms for geometric set cover. SCG 2005: 135-141 - [i1]Kenneth L. Clarkson, Kasturi R. Varadarajan:
Improved Approximation Algorithms for Geometric Set Cover. CoRR abs/cs/0501045 (2005) - 2003
- [j21]Simon C. Borst, Kenneth L. Clarkson, John M. Graybeal, Harish Viswanathan, Philip A. Whiting:
User-level QoS and traffic engineering for 3G wireless 1xEV-DO systems. Bell Labs Tech. J. 8(2): 33-47 (2003) - [c22]Mihai Badoiu, Kenneth L. Clarkson:
Smaller core-sets for balls. SODA 2003: 801-802 - 2001
- [j20]Kenneth L. Clarkson, Wim Sweldens, Alice Zheng:
Fast multiple-antenna differential decoding. IEEE Trans. Commun. 49(2): 253-261 (2001)
1990 – 1999
- 1999
- [j19]Kenneth L. Clarkson:
Nearest Neighbor Queries in Metric Spaces. Discret. Comput. Geom. 22(1): 63-93 (1999) - [j18]Kenneth L. Clarkson:
Guest Editor's Foreword. Discret. Comput. Geom. 22(4): 479-480 (1999) - 1998
- [j17]Kenneth L. Clarkson:
SODA '95 Papers. J. Algorithms 29(2): 203 (1998) - 1997
- [c21]Kenneth L. Clarkson:
Nearest Neighbor Queries in Metric Spaces. STOC 1997: 609-617 - 1996
- [j16]Kenneth L. Clarkson, David Eppstein, Gary L. Miller, Carl Sturtivant, Shang-Hua Teng:
Approximating center points with iterative Radon points. Int. J. Comput. Geom. Appl. 6(3): 357-377 (1996) - 1995
- [j15]Kenneth L. Clarkson:
Las Vegas Algorithms for Linear and Integer Programming when the Dimension is Small. J. ACM 42(2): 488-499 (1995) - [e1]Kenneth L. Clarkson:
Proceedings of the Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 22-24 January 1995. San Francisco, California, USA. ACM/SIAM 1995, ISBN 0-89871-349-8 [contents] - 1994
- [c20]Kenneth L. Clarkson:
An Algorithm for Approximate Closest-Point Queries. SCG 1994: 160-164 - [c19]Kenneth L. Clarkson:
More Output-Sensitive Geometric Algorithms (Extended Abstract). FOCS 1994: 695-702 - 1993
- [j14]Jon Louis Bentley, Kenneth L. Clarkson, David B. Levine:
Fast Linear Expected-Time Algorithms for Computing Maxima and Convex Hulls. Algorithmica 9(2): 168-183 (1993) - [j13]Kenneth L. Clarkson, Kurt Mehlhorn, Raimund Seidel:
Four Results on Randomized Incremental Constructions. Comput. Geom. 3: 185-212 (1993) - [j12]Kenneth L. Clarkson:
A Bound on Local Minima of Arrangements that Implies the Upper Bound Theorem. Discret. Comput. Geom. 10: 427-433 (1993) - [c18]Kenneth L. Clarkson, David Eppstein, Gary L. Miller, Carl Sturtivant, Shang-Hua Teng:
Approximating Center Points with Iterated Radon Points. SCG 1993: 91-98 - [c17]Kenneth L. Clarkson:
Algorithms for Polytope Covering and Approximation. WADS 1993: 246-252 - 1992
- [j11]Kenneth L. Clarkson, Richard Cole, Robert Endre Tarjan:
Randomized parallel algorithms for trapezoidal diagrams. Int. J. Comput. Geom. Appl. 2(2): 117-133 (1992) - [j10]Kenneth L. Clarkson, Richard Cole, Robert Endre Tarjan:
Erratum: Randomized parallel algorithms for trapezoidal diagrams. Int. J. Comput. Geom. Appl. 2(3): 341-343 (1992) - [c16]Kenneth L. Clarkson:
Safe and Effective Determinant Evaluation. FOCS 1992: 387-395 - [c15]Kenneth L. Clarkson, Kurt Mehlhorn, Raimund Seidel:
Four Results on Randomized Incremental Constructions. STACS 1992: 463-474 - 1991
- [c14]Kenneth L. Clarkson, Richard Cole, Robert Endre Tarjan:
Randomized Parallel Algorithms for Trapezoidal Diagrams. SCG 1991: 152-161 - [c13]Kenneth L. Clarkson:
Approximation Algorithms for Planar Traveling Salesman Tours and Minimum-Length Triangulations. SODA 1991: 17-23 - 1990
- [j9]Kenneth L. Clarkson, Herbert Edelsbrunner, Leonidas J. Guibas, Micha Sharir, Emo Welzl:
Combinatorial Complexity Bounds for Arrangement of Curves and Spheres. Discret. Comput. Geom. 5: 99-160 (1990) - [c12]Jon Louis Bentley, Kenneth L. Clarkson, David B. Levine:
Fast Linear Expected-Time Algorithms for Computing Maxima and Convex Hulls. SODA 1990: 179-187
1980 – 1989
- 1989
- [j8]Kenneth L. Clarkson:
An Algorithm for Geometric Minimum Spanning Trees Requiring Nearly Linear Expected Time. Algorithmica 4(4): 461-469 (1989) - [j7]Kenneth L. Clarkson, Peter W. Shor:
Application of Random Sampling in Computational Geometry, II. Discret. Comput. Geom. 4: 387-421 (1989) - [j6]Kenneth L. Clarkson, Robert Endre Tarjan, Christopher J. Van Wyk:
A Fast Las Vegas Algorithm for Triangulating a Simple Polygon. Discret. Comput. Geom. 4: 423-432 (1989) - 1988
- [j5]Kenneth L. Clarkson:
A Randomized Algorithm for Closest-Point Queries. SIAM J. Comput. 17(4): 830-847 (1988) - [c11]Kenneth L. Clarkson:
Applications of Random Sampling in Computational Geometry, II. SCG 1988: 1-11 - [c10]Kenneth L. Clarkson, Peter W. Shor:
Algorithms for Diametral Pairs and Convex Hulls That Are Optimal, Randomized, and Incremental. SCG 1988: 12-17 - [c9]Kenneth L. Clarkson, Robert Endre Tarjan, Christopher J. Van Wyk:
A Fast Las Vegas Algorithm for Triangulating a Simple Polygon. SCG 1988: 18-22 - [c8]Kenneth L. Clarkson:
A Las Vegas Algorithm for Linear Programming When the Dimension Is Small. FOCS 1988: 452-456 - [c7]Kenneth L. Clarkson, Herbert Edelsbrunner, Leonidas J. Guibas, Micha Sharir, Emo Welzl:
Combinatorial Complexity Bounds for Arrangements of Curves and Surfaces. FOCS 1988: 568-579 - 1987
- [j4]Kenneth L. Clarkson:
New Applications of random Sampling in Computational Geometry. Discret. Comput. Geom. 2: 195-222 (1987) - [j3]Leonidas J. Guibas, Jorge Stolfi, Kenneth L. Clarkson:
Solving Related Two-and Three-Dimensional Linear Programming Problems in Logarithmic Time. Theor. Comput. Sci. 49: 81-84 (1987) - [c6]Kenneth L. Clarkson, Sanjiv Kapoor, Pravin M. Vaidya:
Rectilinear Shortest Paths Through Polygonal Obstacles in O(n (log n)2) Time. SCG 1987: 251-257 - [c5]Kenneth L. Clarkson:
Approximation Algorithms for Shortest Path Motion Planning (Extended Abstract). STOC 1987: 56-65 - 1986
- [j2]Kenneth L. Clarkson:
Linear Programming in O(n * (3_d)_2) Time. Inf. Process. Lett. 22(1): 21-24 (1986) - [c4]Kenneth L. Clarkson:
Further Applications of Random Sampling to Computational Geometry. STOC 1986: 414-423 - 1985
- [c3]Kenneth L. Clarkson:
A Probabilistic Algorithm for the Post Office Problem. STOC 1985: 175-184 - 1984
- [c2]Kenneth L. Clarkson:
Fast Expected-Time and Approximation Algorithms for Geometric Minimum Spanning Trees (Extended Abstract). STOC 1984: 342-348 - 1983
- [j1]Kenneth L. Clarkson:
A Modification of the Greedy Algorithm for Vertex Cover. Inf. Process. Lett. 16(1): 23-25 (1983) - [c1]Kenneth L. Clarkson:
Fast Algorithms for the All Nearest Neighbors Problem. FOCS 1983: 226-232
Coauthor Index
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